AI, ML and DS Essentials

Preparation leads to Confidence.

My belief is simple: if you're prepared, confidence follows. And if you're confident, getting job takes care of itself.

My story

After college, I was unplaced. I found my first ML Engineer job at LeewayHertz completely from scratch. Over the last 3 years I've interviewed at 14+ companies — from early-stage startups to MNCs like JP Morgan and Goldman Sachs. I got selected at most, rejected at some. Both taught me something. Everything I prepared, every resource that helped me, and the honest reasons behind every rejection — the DSA prep, the ML fundamentals, the system design — I've put it all into AI, ML & Data Science Essentials.

What's Inside

Real Questions Asked Across All 14 Companies

The actual questions asked in every interview — round by round, company by company. The same questions may or may not come up in your interview, but that is not the point. Knowing what companies actually ask gives you a foundation — you understand the depth they expect, the topics they care about, and the way they think. That alone changes how you prepare.

Round-by-Round Deep Dives

Real questions from real rounds at Deserv, Goldman Sachs, JP Morgan, Vantedge AI, PayU, and 9 more. This is not a generic question bank. These are the exact questions asked, in the exact rounds they appeared, with full answers — why the interviewer asks it, the precise answer with worked maths, how a confident candidate explains it, where most candidates stumble, and every follow-up question with its answer written out.

Cheatsheets & Quick Prep for each company.

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DSA-75 & DSA Mastery 150

The exact DSA preparation I used — fully structured by data structure and algorithm type. Not random LeetCode problems. Every topic has its own folder so you build pattern recognition, not just problem familiarity.

DSA-75 covers 22 core topics including Arrays, Linked Lists, Binary Trees, Graphs, Dynamic Programming, Heap, Trie, Binary Search, Backtracking, Stack, Queue, Greedy, Sorting, Two Pointers, Bit Manipulation, HashMap, DFS/BFS, Matrix, String, Math, Recursion, and OOP — plus a 30-day SDE sheet and a curated questions sheet. This alone covers 80-90% of what gets asked in FAANG, MNC, and AI/ML startup coding rounds.

DSA Mastery 150 goes deeper across 18 focused topics — 1D and 2D Dynamic Programming, Advanced Graphs, Sliding Window, Intervals, Trees, Tries, Heap/Priority Queue, Linked Lists, Binary Search, Two Pointers, Backtracking, Greedy, Bit Manipulation, Math & Geometry, Arrays & Hashing, Stack, and more. Built for engineers who want to go beyond the basics and handle the hard variants with confidence.

Bonus — ML Resource Bundle

• 25 ML Project Ideas with Datasets
• 50 ML Learning Resources
• 5 Common ML System Design Use Cases with Full Design Diagrams
• The Machine Learning Roadmap I followed to go from zero to ML Engineer

Bonus — 1500+ HR Emails

A curated list of 1500+ HR and recruiter email addresses across AI/ML/Data Science hiring companies in India. Stop waiting for job portals to call you back — reach out directly.

You Also Get Access to Discord Community

Once you buy, you're in. I run a Discord channel where I regularly share:

• Resources, roadmaps, and things I'm learning
• Direct access to ask me questions anytime
• Any new thing I am building for the community.

This isn't a one-time PDF. It's an ongoing conversation.

This is for you if —

• You are a fresher who just graduated and don't know where to start
• You have 0–3 years of experience and keep getting rejected without knowing why
• You are from a software engineer background and want to break into AI/ML/Data Science
• You want to switch companies.